1
|
Abdipourbozorgbaghi M, Vancura A, Radpour R, Haefliger S. Circulating miRNA panels as a novel non-invasive diagnostic, prognostic, and potential predictive biomarkers in non-small cell lung cancer (NSCLC). Br J Cancer 2024:10.1038/s41416-024-02831-3. [PMID: 39215192 DOI: 10.1038/s41416-024-02831-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 08/13/2024] [Accepted: 08/16/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) is characterised by its aggressiveness and poor prognosis. Early detection and accurate prediction of therapeutic responses remain critical for improving patient outcomes. In the present study, we investigated the potential of circulating microRNA (miRNA) as non-invasive biomarkers in patients with NSCLC. METHODS We quantified miRNA expression in plasma from 122 participants (78 NSCLC; 44 healthy controls). Bioinformatic tools were employed to identify miRNA panels for accurate NSCLC diagnosis. Validation was performed using an independent publicly available dataset of more than 4000 NSCLC patients. Next, we correlated miRNA expression with clinicopathological information to identify independent prognostic miRNAs and those predictive of anti-PD-1 treatment response. RESULTS We identified miRNA panels for lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) diagnosis. The LUAD panel consists of seven circulating miRNAs (miR-9-3p, miR-96-5p, miR-147b-3p, miR-196a-5p, miR-708-3p, miR-708-5p, miR-4652-5p), while the LUSC panel comprises nine miRNAs (miR-130b-3p, miR-269-3p, miR-301a-5p, miR-301b-5p, miR-744-3p, miR-760, miR-767-5p, miR-4652-5p, miR-6499-3p). Additionally, miR-135b-5p, miR-196a-5p, miR-31-5p (LUAD), and miR-205 (LUSC) serve as independent prognostic markers for survival. Furthermore, two miRNA clusters, namely miR-183/96/182 and miR-767/105, exhibit predictive potential in anti-PD-1-treated LUAD patients. CONCLUSIONS Circulating miRNA signatures demonstrate diagnostic and prognostic value for NSCLC and may guide treatment decisions in clinical practice.
Collapse
Affiliation(s)
- Maryam Abdipourbozorgbaghi
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of BioMedical Research (DBMR), University of Bern, Bern, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Adrienne Vancura
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of BioMedical Research (DBMR), University of Bern, Bern, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Ramin Radpour
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Department of BioMedical Research (DBMR), University of Bern, Bern, Switzerland.
| | - Simon Haefliger
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Department of BioMedical Research (DBMR), University of Bern, Bern, Switzerland.
| |
Collapse
|
2
|
Xie X, Chen C, Chen W, Qin Y, Xiang S, Jiang J, Chen X, Li J. An ultrasensitive electrochemical biosensor with dual-amplification mode and enzyme-deposited silver for detection of miR-205-5p. Mikrochim Acta 2024; 191:545. [PMID: 39158763 DOI: 10.1007/s00604-024-06596-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 07/29/2024] [Indexed: 08/20/2024]
Abstract
An electrochemical biosensor based on dual-amplified nucleic acid mode and biocatalytic silver deposition was constructed using catalytic hairpin assembly-hybrid chain reaction (CHA-HCR). The electrochemical detection of silver on the electrode by linear sweep voltammetry (LSV) can be utilized to quantitatively measure miR-205-5p since the amount of silver deposited on the electrode is proportional to the target nucleic acid. The current response values exhibit strong linearity with the logarithm of miR-205-5p concentrations ranging from 0.1 pM to 10 μM, and the detection limit is 28 fM. A consistent trend was found in the results of the qRT-PCR and electrochemical biosensor techniques, which were employed to determine the total RNA recovered from cells, respectively. Moreover, the constructed sensor was used to assess miR-205-5p on various cell counts, and the outcomes demonstrated the excellent analytical efficiency of the proposed strategy. The recoveries ranged from 97.85% to 115.3% with RSDs of 2.251% to 4.869% in human serum samples. Our electrochemical biosensor for miR-205-5p detection exhibits good specificity, high sensitivity, repeatability, and stability. It is a potentially useful sensing platform for tumor diagnosis and tumor type identification in clinical settings.
Collapse
Affiliation(s)
- Xixiang Xie
- Department of Pharmacy, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China
| | - Chunxia Chen
- Department of Pharmacy, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China
| | - Wuchao Chen
- The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Hospital Management and Medical Prevention Collaborative Innovation, Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China
| | - Yujuan Qin
- Institute of Cardiovascular Sciences, Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China
- School of Basic Medicine, Youjiang Medical University for Nationalities, Baise, 533000, Guangxi, China
| | - Shulin Xiang
- Research Center of Communicable and Severe Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China
- Department of Intensive Care Unit, The Peoples Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China
| | - Jiajun Jiang
- Department of Transplantation, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China
| | - Xiaoyu Chen
- Department of Pharmacy, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China.
| | - Junjun Li
- Hospital Office,The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China.
| |
Collapse
|
3
|
Xie B, Wu T, Hong D, Lu Z. Comprehensive landscape of junctional genes and their association with overall survival of patients with lung adenocarcinoma. Front Mol Biosci 2024; 11:1380384. [PMID: 38841188 PMCID: PMC11150628 DOI: 10.3389/fmolb.2024.1380384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 04/22/2024] [Indexed: 06/07/2024] Open
Abstract
Objectives Junctional proteins are involved in tumorigenesis. Therefore, this study aimed to investigate the association between junctional genes and the prognosis of patients with lung adenocarcinoma (LUAD). Methods Transcriptome, mutation, and clinical data were retrieved from The Cancer Genome Atlas (TCGA). "Limma" was used to screen differentially expressed genes. Moreover, Kaplan-Meier survival analysis was used to identify junctional genes associated with LUAD prognosis. The junctional gene-related risk score (JGRS) was generated based on multivariate Cox regression analysis. An overall survival (OS) prediction model combining the JGRS and clinicopathological properties was proposed using a nomogram and further validated in the Gene Expression Omnibus (GEO) LUAD cohort. Results To our knowledge, this study is the first to demonstrate the correlation between the mRNA levels of 14 junctional genes (CDH15, CDH17, CDH24, CLDN6, CLDN12, CLDN18, CTNND2, DSG2, ITGA2, ITGA8, ITGA11, ITGAL, ITGB4, and PKP3) and clinical outcomes of patients with LUAD. The JGRS was generated based on these 14 genes, and a higher JGRS was associated with older age, higher stage levels, and lower immune scores. Thus, a prognostic prediction nomogram was proposed based on the JGRS. Internal and external validation showed the good performance of the prediction model. Mechanistically, JGRS was associated with cell proliferation and immune regulatory pathways. Mutational analysis revealed that more somatic mutations occurred in the high-JGRS group than in the low-JGRS group. Conclusion The association between junctional genes and OS in patients with LUAD demonstrated by our "TCGA filtrating and GEO validating" model revealed a new function of junctional genes.
Collapse
Affiliation(s)
- Bin Xie
- School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China
| | - Ting Wu
- School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China
| | - Duiguo Hong
- Jincheng Community Health Service Center, Hangzhou, China
| | - Zhe Lu
- Key Laboratory of Aging and Cancer Biology of Zhejiang Province, Hangzhou Normal University, Hangzhou, China
- School of Basic Medicine, Hangzhou Normal University, Hangzhou, China
| |
Collapse
|
4
|
Ren F, Fei Q, Qiu K, Zhang Y, Zhang H, Sun L. Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation. J Exp Clin Cancer Res 2024; 43:96. [PMID: 38561776 PMCID: PMC10985944 DOI: 10.1186/s13046-024-03026-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024] Open
Abstract
Lung cancer stands as the most prevalent form of cancer globally, posing a significant threat to human well-being. Due to the lack of effective and accurate early diagnostic methods, many patients are diagnosed with advanced lung cancer. Although surgical resection is still a potential means of eradicating lung cancer, patients with advanced lung cancer usually miss the best chance for surgical treatment, and even after surgical resection patients may still experience tumor recurrence. Additionally, chemotherapy, the mainstay of treatment for patients with advanced lung cancer, has the potential to be chemo-resistant, resulting in poor clinical outcomes. The emergence of liquid biopsies has garnered considerable attention owing to their noninvasive nature and the ability for continuous sampling. Technological advancements have propelled circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), extracellular vesicles (EVs), tumor metabolites, tumor-educated platelets (TEPs), and tumor-associated antigens (TAA) to the forefront as key liquid biopsy biomarkers, demonstrating intriguing and encouraging results for early diagnosis and prognostic evaluation of lung cancer. This review provides an overview of molecular biomarkers and assays utilized in liquid biopsies for lung cancer, encompassing CTCs, ctDNA, non-coding RNA (ncRNA), EVs, tumor metabolites, TAAs and TEPs. Furthermore, we expound on the practical applications of liquid biopsies, including early diagnosis, treatment response monitoring, prognostic evaluation, and recurrence monitoring in the context of lung cancer.
Collapse
Affiliation(s)
- Fei Ren
- Department of Geriatrics, The First Hospital of China Medical University, Shen Yang, 110000, China
| | - Qian Fei
- Department of Oncology, Shengjing Hospital of China Medical University, Shen Yang, 110000, China
| | - Kun Qiu
- Thoracic Surgery, The First Hospital of China Medical University, Shen Yang, 110000, China
| | - Yuanjie Zhang
- Thoracic Surgery, The First Hospital of China Medical University, Shen Yang, 110000, China
| | - Heyang Zhang
- Department of Hematology, The First Hospital of China Medical University, Shen Yang, 110000, China.
| | - Lei Sun
- Thoracic Surgery, The First Hospital of China Medical University, Shen Yang, 110000, China.
| |
Collapse
|
5
|
Gao L, Dhilipkannah P, Holden VK, Deepak J, Sachdeva A, Todd NW, Stass SA, Jiang F. Differential Non-Coding RNA Profiles for Lung Cancer Early Detection in African and White Americans. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.27.24304977. [PMID: 38585975 PMCID: PMC10996737 DOI: 10.1101/2024.03.27.24304977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Introduction Lung cancer leads in cancer-related deaths. Disparities are observed in lung cancer rates, with African Americans (AAs) experiencing disproportionately higher incidence and mortality compared to other ethnic groups. Non-coding RNAs (ncRNAs) play crucial roles in lung tumorigenesis. Our objective was to identify ncRNA biomarkers associated with the racial disparity in lung cancer. Methods Using droplet digital PCR, we examined 93 lung-cancer-associated ncRNAs in the plasma and sputum samples from AA and White American (WA) participants, which included 118 patients and 92 cancer-free smokers. Subsequently, we validated our results with a separate cohort comprising 56 cases and 72 controls. Results In the AA population, plasma showed differential expression of ten ncRNAs, while sputum revealed four ncRNAs when comparing lung cancer patients to the control group. In the WA population, the plasma displayed eleven ncRNAs, and the sputum had five ncRNAs showing differential expression between the lung cancer patients and the control group. For AAs, we identified a three-ncRNA panel (plasma miRs-147b, 324-3p, 422a) diagnosing lung cancer in AAs with 86% sensitivity and 89% specificity. For WAs, a four-ncRNA panel was developed, comprising sputum miR-34a-5p and plasma miRs-103-3p, 126-3p, 205-5p, achieving 88% sensitivity and 87% specificity. These panels remained effective across different stages and histological types of lung tumors and were validated in the independent cohort. Conclusions The ethnicity-related ncRNA signatures have promise as biomarkers to address the racial disparity in lung cancer.
Collapse
|
6
|
Huang Y, Bao T, Zhang T, Ji G, Wang Y, Ling Z, Li W. Machine Learning Study of SNPs in Noncoding Regions to Predict Non-small Cell Lung Cancer Susceptibility. Clin Oncol (R Coll Radiol) 2023; 35:701-712. [PMID: 37689528 DOI: 10.1016/j.clon.2023.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 07/23/2023] [Accepted: 08/30/2023] [Indexed: 09/11/2023]
Abstract
Non-small cell lung cancer (NSCLC) is the most common pathological subtype of lung cancer. Both environmental and genetic factors have been reported to impact the lung cancer susceptibility. We conducted a genome-wide association study (GWAS) of 287 NSCLC patients and 467 healthy controls in a Chinese population using the Illumina Genome-Wide Asian Screening Array Chip on 712,095 SNPs (single nucleotide polymorphisms). Using logistic regression modeling, GWAS identified 17 new noncoding region SNP loci associated with the NSCLC risk, and the top three (rs80040741, rs9568547, rs6010259) were under a stringent p-value (<3.02e-6). Notably, rs80040741 and rs6010259 were annotated from the intron regions of MUC3A and MLC1, respectively. Together with another five SNPs previously reported in Chinese NSCLC patients and another four covariates (e.g., smoking status, age, low dose CT screening, sex), a predictive model by machine learning methods can separate the NSCLC from healthy controls with an accuracy of 86%. This is the first time to apply machine learning method in predicting the NSCLC susceptibility using both genetic and clinical characteristics. Our findings will provide a promising method in NSCLC early diagnosis and improve our understanding of applying machine learning methods in precision medicine.
Collapse
Affiliation(s)
- Y Huang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Respiratory Healthy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - T Bao
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Respiratory Healthy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - T Zhang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Respiratory Healthy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - G Ji
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Respiratory Healthy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Y Wang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Respiratory Healthy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Z Ling
- Chengdu Genepre Technology Co., LTD, Chengdu, Sichuan, China
| | - W Li
- Institute of Respiratory Healthy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Department of Respiratory and Critical Care Medicine, Institute of Respiratory Healthy, Precision Medicine Key Laboratory of Sichuan Province, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan 610041, China; State Key Laboratory of Respiratory Health and Multimorbidity, Chengdu, Sichuan 610041, West China Hospital, China.
| |
Collapse
|
7
|
Alsaab HO, Abdullaev B, Alkhafaji AT, Alawadi AH, Jahlan I, Bahir H, Bisht YS, Alsaalamy A, Jabbar AM, Mustafa YF. A comprehension of signaling pathways and drug resistance; an insight into the correlation between microRNAs and cancer. Pathol Res Pract 2023; 251:154848. [PMID: 37862919 DOI: 10.1016/j.prp.2023.154848] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/02/2023] [Accepted: 10/02/2023] [Indexed: 10/22/2023]
Abstract
Despite the development of numerous therapies, cancer remains an incurable disease due to various factors, including drug resistance produced by cancer cells. MicroRNAs (miRNAs) regulate different target genes involved in biological and pathological processes, including cancer, through post-transcriptional mechanisms. The development of drug resistance in cancer treatment is a significant barrier because it decreases drug uptake, cellular transport, and changes in proteins involved in cell proliferation, survival, and apoptotic pathways. Numerous studies have found a connection between miRNAs and the development of drug resistance in cancer cells. This paper provides a broad overview of how miRNAs regulate signaling pathways and influence treatment resistance in different cancers.
Collapse
Affiliation(s)
- Hashem O Alsaab
- Department of Pharmaceutics and Pharmaceutical Technology, Taif University, Taif 21944, Saudi Arabia.
| | - Bekhzod Abdullaev
- Research Department of Biotechnology, New Uzbekistan University, Mustaqillik Avenue 54, Tashkent 100007, Uzbekistan; Department of Oncology, School of Medicine, Central Asian University, Milliy Bog Street 264, Tashkent 111221, Uzbekistan.
| | | | - Ahmed Hussien Alawadi
- College of Technical Engineering, the Islamic University, Najaf, Iraq; College of Technical Engineering, the Islamic University of Al Diwaniyah, Iraq; College of Technical Engineering, the Islamic University of Babylon, Iraq
| | - Ibtesam Jahlan
- Maternal and Child Health Nursing Department, King Saud University, Riyadh, Saudi Arabia
| | - Hala Bahir
- Medical Technical College, Al-Farahidi University, Baghdad, Iraq
| | - Yashwant Singh Bisht
- Department of Mechanical Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun 248007, India
| | - Ali Alsaalamy
- College of Technical Engineering, Imam Ja'afar Al-Sadiq University, Al-Muthanna 66002, Iraq
| | - Abeer Mhussan Jabbar
- College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq
| | - Yasser Fakri Mustafa
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul 41001, Iraq
| |
Collapse
|
8
|
Charkiewicz R, Sulewska A, Mroz R, Charkiewicz A, Naumnik W, Kraska M, Gyenesei A, Galik B, Junttila S, Miskiewicz B, Stec R, Karabowicz P, Zawada M, Miltyk W, Niklinski J. Serum Insights: Leveraging the Power of miRNA Profiling as an Early Diagnostic Tool for Non-Small Cell Lung Cancer. Cancers (Basel) 2023; 15:4910. [PMID: 37894277 PMCID: PMC10605272 DOI: 10.3390/cancers15204910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 10/05/2023] [Accepted: 10/08/2023] [Indexed: 10/29/2023] Open
Abstract
Non-small cell lung cancer is the predominant form of lung cancer and is associated with a poor prognosis. MiRNAs implicated in cancer initiation and progression can be easily detected in liquid biopsy samples and have the potential to serve as non-invasive biomarkers. In this study, we employed next-generation sequencing to globally profile miRNAs in serum samples from 71 early-stage NSCLC patients and 47 non-cancerous pulmonary condition patients. Preliminary analysis of differentially expressed miRNAs revealed 28 upregulated miRNAs in NSCLC compared to the control group. Functional enrichment analyses unveiled their involvement in NSCLC signaling pathways. Subsequently, we developed a gradient-boosting decision tree classifier based on 2588 miRNAs, which demonstrated high accuracy (0.837), sensitivity (0.806), and specificity (0.859) in effectively distinguishing NSCLC from non-cancerous individuals. Shapley Additive exPlanations analysis improved the model metrics by identifying the top 15 miRNAs with the strongest discriminatory value, yielding an AUC of 0.96 ± 0.04, accuracy of 0.896, sensitivity of 0.884, and specificity of 0.903. Our study establishes the potential utility of a non-invasive serum miRNA signature as a supportive tool for early detection of NSCLC while also shedding light on dysregulated miRNAs in NSCLC biology. For enhanced credibility and understanding, further validation in an independent cohort of patients is warranted.
Collapse
Affiliation(s)
- Radoslaw Charkiewicz
- Center of Experimental Medicine, Medical University of Bialystok, 15-369 Bialystok, Poland
- Department of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.S.); (M.K.)
| | - Anetta Sulewska
- Department of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.S.); (M.K.)
| | - Robert Mroz
- 2nd Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, 15-540 Bialystok, Poland;
| | - Alicja Charkiewicz
- Department of Analysis and Bioanalysis of Medicines, Medical University of Bialystok, 15-089 Bialystok, Poland; (A.C.); (W.M.)
| | - Wojciech Naumnik
- 1st Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, 15-540 Bialystok, Poland;
| | - Marcin Kraska
- Department of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.S.); (M.K.)
- Department of Medical Pathomorphology, Medical University of Bialystok, 15-269 Bialystok, Poland
| | - Attila Gyenesei
- Szentagothai Research Center, Genomic and Bioinformatic Core Facility, H-7624 Pecs, Hungary; (A.G.); (B.G.)
| | - Bence Galik
- Szentagothai Research Center, Genomic and Bioinformatic Core Facility, H-7624 Pecs, Hungary; (A.G.); (B.G.)
| | - Sini Junttila
- Turku Bioscience Centre, University of Turku & Åbo Akademi University, FI-20520 Turku, Finland;
| | - Borys Miskiewicz
- Department of Thoracic Surgery, Medical University of Bialystok, 15-276 Bialystok, Poland;
| | - Rafal Stec
- Department of Oncology, Medical University of Warsaw, 02-091 Warsaw, Poland;
| | - Piotr Karabowicz
- Biobank, Medical University of Bialystok, 15-269 Bialystok, Poland;
| | - Magdalena Zawada
- Department of Hematology Diagnostics and Genetics, The University Hospital, 30-688 Krakow, Poland;
| | - Wojciech Miltyk
- Department of Analysis and Bioanalysis of Medicines, Medical University of Bialystok, 15-089 Bialystok, Poland; (A.C.); (W.M.)
| | - Jacek Niklinski
- Department of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.S.); (M.K.)
| |
Collapse
|
9
|
Raczkowska J, Bielska A, Krętowski A, Niemira M. Extracellular circulating miRNAs as potential non-invasive biomarkers in non-small cell lung cancer patients. Front Oncol 2023; 13:1209299. [PMID: 37546401 PMCID: PMC10401434 DOI: 10.3389/fonc.2023.1209299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/28/2023] [Indexed: 08/08/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) comprises 85% of all lung cancers and is a malignant condition resistant to advanced-stage treatment. Despite the advancement in detection and treatment techniques, the disease is taking a deadly toll worldwide, being the leading cause of cancer death every year. Current diagnostic methods do not ensure the detection of the disease at an early stage, nor can they predict the risk of its development. There is an urgent need to identify biomarkers that can help predict an individual's risk of developing NSCLC, distinguish NSCLC subtype, allow monitor disease and treatment progression which can improve patient survival. Micro RNAs (miRNAs) represent the class of small and non-coding RNAs involved in gene expression regulation, influencing many biological processes such as proliferation, differentiation, and carcinogenesis. Research reports significant differences in miRNA profiles between healthy and neoplastic tissues in NSCLC. Its abundant presence in biofluids, such as serum, blood, urine, and saliva, makes them easily detectable and does not require invasive collection techniques. Many studies support miRNAs' importance in detecting, predicting, and prognosis of NSCLC, indicating their utility as a promising biomarker. In this work, we reviewed up-to-date research focusing on biofluid miRNAs' role as a diagnostic tool in NSCLC cases. We also discussed the limitations of applying miRNAs as biomarkers and highlighted future areas of interest.
Collapse
Affiliation(s)
- Justyna Raczkowska
- Clinical Research Centre, Medical University of Białystok, Białystok, Poland
| | - Agnieszka Bielska
- Clinical Research Centre, Medical University of Białystok, Białystok, Poland
| | - Adam Krętowski
- Clinical Research Centre, Medical University of Białystok, Białystok, Poland
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Białystok, Białystok, Poland
| | - Magdalena Niemira
- Clinical Research Centre, Medical University of Białystok, Białystok, Poland
| |
Collapse
|
10
|
Liu J, Li Y, Liu T, Shi Y, Wang Y, Wu J, Qi Y. Novel Biomarker Panel of Let-7d-5p and MiR-140-5p Can Distinguish Latent Tuberculosis Infection from Active Tuberculosis Patients. Infect Drug Resist 2023; 16:3847-3859. [PMID: 37346367 PMCID: PMC10281287 DOI: 10.2147/idr.s412116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/31/2023] [Indexed: 06/23/2023] Open
Abstract
Background Mycobacterium tuberculosis (Mtb) survives inside a human host for a long time in the form of latent tuberculosis infection (LTBI). Latent infection of tuberculosis has the opportunity of developing into active tuberculosis (ATB), which has greatly endangered human health. The existing diagnostic methods cannot effectively distinguish LTBI from ATB. Therefore, more effective diagnostic biomarkers and methods are urgently needed. Methods Here, we screened the GEO data set, conducted joint differential analysis and target gene enrichment analysis, after filtering the disease-related database, we screened the differential miRNA related to TB. The qPCR was used to verify the miRNAs in 84 serum samples. Different combinations of biomarkers were evaluated by logistic regression to obtain a biomarker panel with good performance for diagnosing LTBI. Results A panel with two miRNAs (hsa-let-7d-5p, hsa-miR-140-5p) was established to differentiate LTBI from ATB. Receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) are 0.930 (sensitivity = 100%, specificity = 88.5%) and 0.923 (sensitivity = 100%, specificity = 92.3%) with the biomarker panel for the training set and test set respectively. Conclusion The findings indicated that the logistic regression model built by let-7d-5p and miR-140-5p has the ability to distinguish LTBI from active TB patients.
Collapse
Affiliation(s)
- Jiaxing Liu
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, 210008, People’s Republic of China
| | - Ye Li
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230000, People’s Republic of China
| | - Ting Liu
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230000, People’s Republic of China
| | - Yuru Shi
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230000, People’s Republic of China
| | - Yun Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230000, People’s Republic of China
| | - Jing Wu
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230000, People’s Republic of China
| | - Yingjie Qi
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230000, People’s Republic of China
| |
Collapse
|
11
|
Li Q, Hujiaaihemaiti M, Wang J, Uddin MN, Li MY, Aierken A, Wu Y. Identifying key transcription factors and miRNAs coregulatory networks associated with immune infiltrations and drug interactions in idiopathic pulmonary arterial hypertension. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:4153-4177. [PMID: 36899621 DOI: 10.3934/mbe.2023194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
BACKGROUND The deregulated genetic factors are critically associated with idiopathic pulmonary arterial hypertension (IPAH) development and progression. However, the identification of hub-transcription factors (TFs) and miRNA-hub-TFs co-regulatory network-mediated pathogenesis in IPAH remains lacking. METHODS We used GSE48149, GSE113439, GSE117261, GSE33463, and GSE67597 for identifying key genes and miRNAs in IPAH. We used a series of bioinformatics approaches, including R packages, protein-protein interaction (PPI) network, and gene set enrichment analysis (GSEA) to identify the hub-TFs and miRNA-hub-TFs co-regulatory networks in IPAH. Also, we employed a molecular docking approach to evaluate the potential protein-drug interactions. RESULTS We found that 14 TFs encoding genes, including ZNF83, STAT1, NFE2L3, and SMARCA2 are upregulated, and 47 TFs encoding genes, including NCOR2, FOXA2, NFE2, and IRF5 are downregulated in IPAH relative to the control. Then, we identified the differentially expressed 22 hub-TFs encoding genes, including four upregulated (STAT1, OPTN, STAT4, and SMARCA2) and 18 downregulated (such as NCOR2, IRF5, IRF2, MAFB, MAFG, and MAF) TFs encoding genes in IPAH. The deregulated hub-TFs regulate the immune system, cellular transcriptional signaling, and cell cycle regulatory pathways. Moreover, the identified differentially expressed miRNAs (DEmiRs) are involved in the co-regulatory network with hub-TFs. The six hub-TFs encoding genes, including STAT1, MAF, CEBPB, MAFB, NCOR2, and MAFG are consistently differentially expressed in the peripheral blood mononuclear cells of IPAH patients, and these hub-TFs showed significant diagnostic efficacy in distinguishing IPAH cases from the healthy individuals. Moreover, we revealed that the co-regulatory hub-TFs encoding genes are correlated with the infiltrations of various immune signatures, including CD4 regulatory T cells, immature B cells, macrophages, MDSCs, monocytes, Tfh cells, and Th1 cells. Finally, we discovered that the protein product of STAT1 and NCOR2 interacts with several drugs with appropriate binding affinity. CONCLUSIONS The identification of hub-TFs and miRNA-hub-TFs co-regulatory networks may provide a new avenue into the mechanism of IPAH development and pathogenesis.
Collapse
Affiliation(s)
- Qian Li
- Department of General Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Minawaer Hujiaaihemaiti
- Department of General Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Jie Wang
- Department of Pharmacy, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Md Nazim Uddin
- Institute of Food Science and Technology, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh
| | - Ming-Yuan Li
- Department of General Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Alidan Aierken
- Department of General Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Yun Wu
- Department of General Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| |
Collapse
|
12
|
Proliferation, Metastasis, and Radiosensitivity of Nasopharyngeal Carcinoma Cells in the Expression and Effect of Kiwifruit Extract through the Regulation of miR-205-5p. JOURNAL OF ONCOLOGY 2022; 2022:6925772. [PMID: 35990993 PMCID: PMC9388297 DOI: 10.1155/2022/6925772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/01/2022] [Accepted: 07/04/2022] [Indexed: 11/17/2022]
Abstract
Background Radix Actinidiae extract (RAE) has been shown to inhibit cancer in many studies, but its potential mechanism in nasopharyngeal cancer (NPC) progression remains unclear. Methods NPC cells (SUNE1) were treated with different doses of RAE. For transfection, SUNE1 cells were transfected with the microRNA (miR)-205-5p inhibitor (anti-miR-205-5p) or mimic followed by treatment with 200 μg/mL RAE for 24 h. The MTT assay and colony formation assay were used to detect cell proliferation and radiosensitivity. The transwell assay was used to detect cell migration and invasion. The expression of miR-205-5p was detected by quantitative real-time PCR. The protein expression levels of matrix metalloproteinase-2 (MMP2) and matrix metalloproteinase-9 (MMP9) were detected by western blot analysis. Results RAE inhibited NPC cell proliferation, migration, and invasion, while it enhanced radiosensitivity (P < 0.05). Also, RAE treatment decreased miR-205-5p expression, as well as MMP2 and MMP9 protein levels (P < 0.05). Anti-miR-205-5p transfection enhanced the effects of RAE on NPC cell proliferation, migration, invasion, and radiosensitivity (P < 0.05), while miR-205-5p mimic transfection had an opposite effect (P < 0.05). Conclusion RAE might decrease miR-205-5p, thereby it inhibited NPC cell proliferation and metastasis and enhanced radiosensitivity.
Collapse
|
13
|
Ding J, Huang M, Huang B, Peng X, Wu G, Peng C, Zhang H, Mao C, Wu X. Identification of a dysregulated ceRNA network modulated by copy number variation-driven lncRNAs in lung squamous cell carcinoma. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2022; 63:351-361. [PMID: 36161731 DOI: 10.1002/em.22509] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 09/02/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Lung cancer is primarily responsive for cancer death, and its progression is aggressively affected by copy number variation (CNV). Through bioinformatics approach, a ceRNA network of CNV-driven lncRNAs in lung squamous cell carcinoma (LUSC) patients was constructed. Data on normal and LUSC tumor tissue from The Cancer Genome Atlas (TCGA)-LUSC dataset were subjected to differential analysis, and differentially expressed lncRNAs (DElncRNAs), DEmiRNAs, and DEmRNAs were obtained. Based on TCGA-LUSC, CNVs of normal and tumor tissue samples were then compared using a Chi-square test, and lncRNAs were intersected based on their CNVs and expression alternation. In combination with the Kruskal-Wallis test, CNV-driven lncRNAs were acquired. Afterwards, miRNAs and mRNAs that interacted with CNV-driven lncRNAs were obtained based on databases (LncBase, starBase, miRDB, mirDIP and TargetScan), DElncRNAs, DEmiRNAs and DEmRNAs, and correlation analysis. The acquired lncRNAs, miRNAs and mRNAs were subjected to Cytoscape software to construct a CNV-driven ceRNA network, which involved 5 lncRNAs (MIR143HG, LINC00702, MIR22HG, RP11-180 N14.1, RP11-473 M20.9), 6 miRNAs (miR-3200-3p, miR-1301-3p, miR-93-3p, miR-96-5p, miR-96-5p, miR-130b-5p, miR-205-5p) and 80 mRNAs. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analyses indicated that downstream mRNAs were mainly correlated with blood vessel development and T cell-mediated immunity. In summary, we devoted to analyzing CNV-related lncRNAs, mRNAs, and miRNAs in LUSC, thus clarifying 5 lncRNAs that may influence the malignant progression of LUSC. The ceRNA network regulated by these lncRNAs may be the novel pathogenesis of LUSC.
Collapse
Affiliation(s)
- Jianyang Ding
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Mingjiang Huang
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Bin Huang
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xuyang Peng
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Gongzhi Wu
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Congxiong Peng
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Huaizhong Zhang
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Chaofan Mao
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xuhui Wu
- Department of Cardiothoracic Surgery, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| |
Collapse
|
14
|
MiRNAs in Lung Cancer: Diagnostic, Prognostic, and Therapeutic Potential. Diagnostics (Basel) 2022; 12:diagnostics12071610. [PMID: 35885514 PMCID: PMC9322918 DOI: 10.3390/diagnostics12071610] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/13/2022] [Accepted: 04/17/2022] [Indexed: 12/24/2022] Open
Abstract
Lung cancer is the dominant emerging factor in cancer-related mortality around the globe. Therapeutic interventions for lung cancer are not up to par, mainly due to reoccurrence/relapse, chemoresistance, and late diagnosis. People are currently interested in miRNAs, which are small double-stranded (20–24 ribonucleotides) structures that regulate molecular targets (tumor suppressors, oncogenes) involved in tumorigeneses such as cell proliferation, apoptosis, metastasis, and angiogenesis via post-transcriptional regulation of mRNA. Many studies suggest the emerging role of miRNAs in lung cancer diagnostics, prognostics, and therapeutics. Therefore, it is necessary to intensely explore the miRNOME expression of lung tumors and the development of anti-cancer strategies. The current review focuses on the therapeutic, diagnostic, and prognostic potential of numerous miRNAs in lung cancer.
Collapse
|
15
|
Pirlog R, Chiroi P, Rusu I, Jurj AM, Budisan L, Pop-Bica C, Braicu C, Crisan D, Sabourin JC, Berindan-Neagoe I. Cellular and Molecular Profiling of Tumor Microenvironment and Early-Stage Lung Cancer. Int J Mol Sci 2022; 23:5346. [PMID: 35628157 PMCID: PMC9140615 DOI: 10.3390/ijms23105346] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 12/12/2022] Open
Abstract
Lung cancers are broadly divided into two categories: non-small-cell lung carcinoma (NSCLC), which accounts for 80-85% of all cancer cases, and small-cell lung carcinoma (SCLC), which covers the remaining 10-15%. Recent advances in cancer biology and genomics research have allowed an in-depth characterization of lung cancers that have revealed new therapy targets (EGFR, ALK, ROS, and KRAS mutations) and have the potential of revealing even more biomarkers for diagnostic, prognostic, and targeted therapies. A new source of biomarkers is represented by non-coding RNAs, especially microRNAs (miRNAs). MiRNAs are short non-coding RNA sequences that have essential regulatory roles in multiple cancers. Therefore, we aim to investigate the tumor microenvironment (TME) and miRNA tumor profile in a subset of 51 early-stage lung cancer samples (T1 and T2) to better understand early tumor and TME organization and molecular dysregulation. We analyzed the immunohistochemistry expression of CD4 and CD8 as markers of the main TME immune populations, E-cadherin to evaluate early-stage epithelial-to-mesenchymal transition (EMT), and p53, the main altered tumor suppressor gene in lung cancer. Starting from these 4 markers, we identified and validated 4 miRNAs that target TP53 and regulate EMT that can be further investigated as potential early-stage lung cancer biomarkers.
Collapse
Affiliation(s)
- Radu Pirlog
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (R.P.); (P.C.); (A.M.J.); (L.B.); (C.P.-B.); (C.B.)
| | - Paul Chiroi
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (R.P.); (P.C.); (A.M.J.); (L.B.); (C.P.-B.); (C.B.)
| | - Ioana Rusu
- Department of Pathology, Regional Institute of Gastroenterology and Hepatology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400186 Cluj-Napoca, Romania;
| | - Ancuta Maria Jurj
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (R.P.); (P.C.); (A.M.J.); (L.B.); (C.P.-B.); (C.B.)
| | - Liviuta Budisan
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (R.P.); (P.C.); (A.M.J.); (L.B.); (C.P.-B.); (C.B.)
| | - Cecilia Pop-Bica
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (R.P.); (P.C.); (A.M.J.); (L.B.); (C.P.-B.); (C.B.)
| | - Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (R.P.); (P.C.); (A.M.J.); (L.B.); (C.P.-B.); (C.B.)
| | - Doinita Crisan
- Department of Morphological Sciences, “Iuliu Hațieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Jean-Christophe Sabourin
- Pathology Department and INSERM U1245, Rouen University Hospital, Normandy University, 76000 Rouen, France;
| | - Ioana Berindan-Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (R.P.); (P.C.); (A.M.J.); (L.B.); (C.P.-B.); (C.B.)
| |
Collapse
|